PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Implementation of smoothing filtering methods for the purpose of improvement inverted pendulum’s trajectory

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
PL
Zastosowanie metod opartych o filtry wygładzające w celu poprawy trajektorii ruchu wahadła odwróconego
Języki publikacji
EN
Abstrakty
EN
In this paper various smoothing filters were applied in order to smooth inverted pendulum’s movement trajectory. The filtering was implemented for the purpose of some artifacts removal. The authors tested various classical smoothing filters on the single-inverted pendulum, which is a classical problem in control theory and is widely used for the purpose for testing various control algorithms, neural networks, fuzzy control, genetic algorithms etc.
PL
W niniejszym artykule zastosowano filtry wygładzające w celu wygładzenia trajektorii ruchu odwróconego wahadła. Filtracja została użyta do usunięcia zakłóceń . Autorzy przetestowali różne klasyczne filtry wygładzające na wahadle odwróconym, który jest klasycznym problemem w teorii sterowania i ma szerokie zastosowanie do testów różnych algorytmów, sieci neuronowych, w logice rozmytej, algorytmach genetycznych itp.
Rocznik
Strony
110--113
Opis fizyczny
Bibliogr. 22 poz., rys.
Twórcy
  • Faculty of Electrical Engineering, Automatic Control and Informatics – Opole University of Technology ul. Proszkowska 76, 45-758 Opole, Poland
  • Faculty of Electrical Engineering, Automatic Control and Informatics – Opole University of Technology ul. Proszkowska 76, 45-758 Opole, Poland
autor
  • Technical University Ostrava, Faculty of Electrical Engineering and Computer Science 17. listopadu, 70800 Ostrava-Poruba, Czech Republic
  • Faculty of Electrical Engineering, Automatic Control and Informatics – Opole University of Technology ul. Proszkowska 76, 45-758 Opole, Poland
  • Faculty of Electrical Engineering, Automatic Control and Informatics – Opole University of Technology ul. Proszkowska 76, 45-758 Opole, Poland
  • Faculty of Electrical Engineering, Automatic Control and Informatics – Opole University of Technology ul. Proszkowska 76, 45-758 Opole, Poland
autor
  • Faculty of Electrical Engineering, Automatic Control and Informatics – Opole University of Technology ul. Proszkowska 76, 45-758 Opole, Poland
  • University of Greenwich, School of Computing and Mathematical Sciences Old Royal Naval College, Park Row, SE 10 9 LS, London, UK
Bibliografia
  • [1] Farhang-Boroujeny B.: Adaptive Filters: Theory and Applications, John Wiley and Sons, 2013.
  • [2] McC. Siebert W.: Circuits, Signals, and Systems, MIT Press, 1986.
  • [3] Druzhinina O. V.: Modelirovanie i postroenie algoritma stabilizacii perevernutogo majatnika, Dinamika slozhnyh sistem - XXI vek, 4, 2012 (in Russian).
  • [4] Bobobekov K. M.: The Model of the Inverted Pendulum: Special Cases, Collection of Scientific Works of the Novosibirsk State Technical University, 3(81), pp. 21-42, Novosibirsk State Technical University, 2015 (in Russian).
  • [5] da Costa V. L. R., Schettino H. V., Camponogara A., de Campos F. P., Ribeiro M. V.: Digital Filters for Clustered- OFDMbased PLC Systems: Design and Implementation, Digital Signal Processing, 70, pp. 166-177, 2017.
  • [6] Tibdewal M. N., Mahadevappa M., Kumar Ray A., Malokar M., Dey H. R.: Power Line and Ocular Artifact Denoising from EEG Using Notch Filter and Wavelet Transform In Proc.: 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom), pp. 1654-1659, IEEE, 2016.
  • [7] Diniz P. S., Da Silva E. A., Netto S. L.: Digital Signal Processing: System Analysis and Design, Cambridge University Press, 2010.
  • [8] Xu B., Lyu Y., Gadsden S. A.: Estimation And Control Of A Double-Inverted Pendulum, 2018.
  • [9] Kloppelt C., Meyer D.: Comparison of Different Methods for Encoder Speed Signal Filtering Exemplified by an Inverted Pendulum, In Proc.: 2018 19th International Conference on Research and Education in Mechatronics (REM), pp. 1-6, IEEE, 2018.
  • [10] Puzdrowska P.: Signal filtering method of the fast-varying diesel exhaust gas temperature, Combustion Engines, 175(4), pp. 50-52, 2018.
  • [11] Masrom M. F., Ghani N. M., Jamin N. F., Razali N. A. A.: Stabilization Control of a Two-Wheeled Triple Link Inverted Pendulum System with Disturbance Rejection, In Proc.: 10th Na- tional Technical Seminar on Underwater System Technology 2018, pp. 151-159, Springer, 2019.
  • [12] Kovalchuk V. V.: Lyapunov’s Stability Theory for a Triple Inverted Pendulum with a Follower Forces, Application of Mathematics in Computer Sciences, Maths in the Modern Technical University, In Proc.: VI International Scientific- Practical Conference Kyiv 2017, pp. 8, National Technical University of Ukraine, 2018.
  • [13] Ramirez-Neria M., Gao Z., Sira-Ramirez H., Garrido- Moctezuma R., Luviano-Juarez A.: Trajectory Tracking for an Inverted Pendulum on a Cart: An Active Disturbance Rejection Control Approach, In Proc.: 2018 Annual American Control Conference (ACC), pp. 4881-4886, IEEE, 2019.
  • [14] Zieli ´ nski, T. P.: Cyfrowe przetwarzanie sygnalow. Od teorii do zastosowan, Helion, 2007 (in Polish).
  • [15] Bhushana Rao K. Ch., Krishna B. T.: Comparative Analysis of Integer and Non-integer order Savitzky-Golay Digital Filters IEEE, 2017.
  • [16] Mohammadi-Moghaddam T., Razavi S. M., Sazgarnia A., Taghizadeh M.: Predicting the moisture content and textural characteristics of roasted pistachio kernels using Vis/NIR reflectance spectroscopy and PLSR analysis. Journal of Food Measurement and Characterization, 12(1), pp. 346-355, 2018.
  • [17] Liu J. G.: Smoothing Filter-based Intensity Modulation: A Spectral Preserve Image Fusion Technique for Improving Spatial Details, International Journal of Remote Sensing, 21:18, pp. 3461-3472, 2018.
  • [18] Einicke G. A.: Smoothing, Filtering and Prediction: Estimating the Past, Present and Future, 2012.
  • [19] Baranowski J., BauerW., Zagorowska M., Piatek P.: On Digital Realizations of Non-integer Order Filters, Circuits, Systems, and Signal Processing, 35, Issue: 6, pp. 20832107, 2016.
  • [20] Jahani S., Setarehdan S. K., Boas D. A., Yucel M.A.: Motion Artifact Detection and Correction in Functional Near-infrared Spectroscopy: A New Hybrid Method Based on Spline Interpolation Method and Savitzky-Golay Filtering, Neurophotonics, 5(1), pp. 015003, 2018.
  • [21] Pander T.: EEG Signal Improvement with Cascaded Filter Based on OWA Operator, Signal, Image and Video Processing, pp. 1-7, 2019.
  • [22] Panchuk V., Semenov V., Legin A., Kirsanov D.: Signal Smoothing with PLS Regression. Analytical chemistry, 90(9), pp. 5959-5964, 2018. 94
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-2e8275fe-3908-446d-9b99-a70426730174
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.